Antenna Season Report Notebook¶

Josh Dillon, Last Revised January 2022

This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.

In [1]:
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
In [2]:
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
In [3]:
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "43"
csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
In [4]:
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))

Antenna 43 Report

In [5]:
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
In [6]:
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 64 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_
Found 62 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
In [7]:
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'

Load relevant info from summary CSVs¶

In [8]:
this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
            antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
        else:
            antnum = int(row['Ant'])
        if antnum != int(antenna):
            continue
        
        if np.issubdtype(type(row['Node']), np.integer):
            row['Node'] = str(row['Node'])
        if type(row['Node']) == str and row['Node'].isnumeric():
            row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break
In [9]:
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])

Table 1: Per-Night RTP Summary Info For This Atenna¶

This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.

In [10]:
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))

Antenna 43, Node N05:

Out[10]:
JDs A Priori Status Auto Metrics Flags Dead Fraction in Ant Metrics (Jee) Dead Fraction in Ant Metrics (Jnn) Crossed Fraction in Ant Metrics Flag Fraction Before Redcal Flagged By Redcal chi^2 Fraction ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score Average Dead Ant Metric (Jee) Average Dead Ant Metric (Jnn) Average Crossed Ant Metric Median chi^2 Per Antenna (Jee) Median chi^2 Per Antenna (Jnn)
2459880 RF_maintenance 100.00% 100.00% 0.00% 0.00% - - 15.687810 3.621372 58.451853 -0.199054 6.810721 0.818164 2.945437 14.960894 0.0403 0.6914 0.5094 nan nan
2459879 RF_maintenance 100.00% 100.00% 0.00% 0.00% - - 7.970588 2.741961 10.296595 0.094324 1.480532 0.144380 3.737013 4.019967 0.0371 0.6866 0.4360 nan nan
2459878 RF_maintenance 100.00% 100.00% 0.00% 0.00% - - 16.122760 5.582609 55.454752 0.031450 12.992985 0.734032 7.799563 8.819591 0.0437 0.6926 0.4245 nan nan
2459876 RF_maintenance 100.00% 100.00% 0.00% 0.00% - - 16.092287 1.105136 50.878174 -0.607998 29.857303 0.290006 6.429151 7.352520 0.0428 0.6935 0.4696 nan nan
2459875 RF_maintenance 100.00% 100.00% 0.00% 0.00% - - 16.796739 1.085620 66.633341 -0.554076 13.315559 -0.678915 3.819904 0.500252 0.0421 0.7161 0.4886 nan nan
2459874 digital_maintenance 100.00% 100.00% 0.00% 0.00% - - 23.884964 2.768957 34.737721 -0.732586 18.199789 -0.284389 4.809502 1.695795 0.0417 0.6896 0.4741 nan nan
2459873 digital_maintenance 100.00% 100.00% 0.00% 0.00% - - 17.918572 2.618845 44.913428 -0.575441 7.328409 0.038093 2.056006 2.866954 0.0439 0.6887 0.4867 nan nan
2459872 digital_maintenance 100.00% 100.00% 0.00% 0.00% - - 15.569373 2.506482 57.548069 -0.457654 20.208991 1.173368 3.115776 2.672329 0.0369 0.6919 0.4510 nan nan
2459871 digital_maintenance 100.00% 100.00% 0.00% 0.00% - - 12.497693 0.782688 62.098585 -0.509328 18.144250 -0.400681 1.771571 0.846852 0.0393 0.6916 0.4592 nan nan
2459870 digital_maintenance 100.00% 100.00% 0.00% 0.00% - - 21.197994 4.813316 46.770637 -0.322255 10.779570 0.624080 5.519359 3.879311 0.0411 0.6953 0.4849 nan nan
2459869 digital_maintenance 100.00% 100.00% 0.00% 0.00% - - 17.890085 1.048137 46.749769 -0.201501 15.824792 -0.039126 6.166719 1.562777 0.0432 0.7187 0.5149 nan nan
2459868 digital_maintenance 100.00% 100.00% 0.00% 0.00% - - 19.340845 1.967850 70.729441 -0.830048 10.864956 -0.733798 4.708628 3.669914 0.0393 0.6920 0.5000 nan nan
2459867 digital_maintenance 100.00% 100.00% 0.00% 0.00% - - 13.386597 1.670569 55.540704 -0.769096 5.797070 -0.252852 3.258565 0.683794 0.0414 0.6951 0.4963 nan nan
2459866 digital_maintenance 100.00% 100.00% 0.00% 0.00% - - 15.518874 1.869022 52.358493 -0.623906 6.577656 -0.077383 3.379277 3.140317 0.0454 0.6984 0.4891 nan nan
2459865 digital_maintenance 100.00% 100.00% 0.00% 0.00% - - 16.916118 5.120316 63.524402 4.288722 15.787720 0.223445 15.356300 1.223817 0.0367 0.7156 0.4683 nan nan
2459864 digital_maintenance 100.00% 100.00% 0.00% 0.00% - - 20.816074 5.839783 25.388393 -1.148175 8.249791 0.481755 5.087568 5.576570 0.0374 0.6857 0.4878 nan nan
2459863 digital_maintenance 100.00% 100.00% 0.00% 0.00% - - 12.381979 0.650836 8.032529 -0.072462 2.976857 -0.602650 2.295861 1.616751 0.0381 0.6786 0.4988 nan nan
2459862 digital_maintenance 100.00% 100.00% 0.00% 0.00% - - 12.156899 1.473495 29.008194 -1.470391 12.526969 -0.429048 1.696439 0.676417 0.0429 0.7112 0.4806 nan nan
2459861 digital_maintenance 100.00% 100.00% 0.00% 0.00% - - 9.359568 1.595040 8.113863 0.127491 2.555280 0.247699 1.831366 1.329353 0.0373 0.6930 0.4617 nan nan
2459860 digital_maintenance 100.00% 100.00% 0.00% 0.00% - - 10.349112 0.875144 24.378084 -1.070353 14.695023 -0.173043 2.122973 0.583748 0.0392 0.6931 0.5079 nan nan
2459859 digital_maintenance 100.00% 100.00% 0.00% 0.00% - - 8.577560 1.664766 8.785289 0.054858 2.230368 -0.088973 0.877579 1.338013 0.0432 0.6918 0.5088 nan nan
2459858 digital_maintenance 100.00% 100.00% 0.00% 0.00% 100.00% 0.00% 9.329167 2.289849 9.087143 0.005777 2.268161 0.167157 1.727083 0.973416 0.0405 0.6991 0.5067 1.144375 2.594569
2459857 digital_maintenance 100.00% 100.00% 100.00% 0.00% - - 7.297562 -0.380326 1.339638 -0.557783 1.771730 0.142087 5.926894 -0.459261 0.0243 0.0250 0.0005 nan nan
2459856 digital_maintenance 100.00% 100.00% 0.00% 0.00% 100.00% 0.00% 14.044759 4.289200 22.941011 -0.591668 6.656079 0.132799 3.417527 1.642090 0.0424 0.7122 0.5255 1.172875 2.736776
2459855 digital_maintenance 100.00% 100.00% 0.00% 0.00% 100.00% 0.00% 14.562656 5.286206 23.944214 -0.863357 2.764662 0.130601 1.384612 1.120531 0.0423 0.7232 0.5299 1.178665 2.747707
2459854 digital_maintenance 100.00% 100.00% 0.00% 0.00% 100.00% 0.00% 14.540315 6.997844 18.345058 0.324670 3.841574 0.599450 3.227382 4.516424 0.0450 0.7494 0.5580 1.157439 2.677109
2459853 digital_maintenance 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% nan nan inf inf nan nan nan nan nan nan nan 0.000000 0.000000
2459852 digital_maintenance 100.00% 100.00% 0.00% 0.00% 100.00% 0.00% 12.846803 2.226267 25.617335 -0.110991 15.619158 0.168742 16.748950 -0.510269 0.0472 0.8470 0.5368 1.163610 4.316732
2459851 digital_maintenance 100.00% 89.69% 0.00% 0.00% 100.00% 0.00% 9.510555 2.714082 26.386509 0.572777 21.505144 -0.166024 13.355778 1.708281 0.1163 0.7618 0.4795 1.221582 3.597149
2459850 digital_maintenance 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 11.629747 2.029115 22.819260 0.420388 10.305514 0.088132 6.787655 0.970968 0.0274 0.0506 0.0204 1.157408 1.183744
2459849 digital_maintenance 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 13.541427 2.295437 46.104418 2.728420 7.112880 0.378082 4.270823 2.056854 0.0271 0.0528 0.0227 1.182474 1.213026
2459848 digital_maintenance 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 12.310868 1.420030 29.268021 16.351728 14.296933 1.626501 1.627937 0.090905 0.0268 0.0501 0.0228 1.180361 1.204757
2459847 digital_maintenance 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 14.218671 0.539913 27.296114 15.247434 21.934135 0.519055 0.353193 2.927262 0.0261 0.0441 0.0219 1.172899 1.197111
2459846 digital_maintenance 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 24.127344 5.163601 33.275061 13.136849 21.574932 5.816819 4.056913 -0.124090 0.0270 0.0590 0.0281 1.192147 1.210466

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

In [11]:
htmls_to_display = []
for am_html in auto_metric_htmls:
    html_to_display = ''
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line:
            htmls_to_display.append(html_to_display)
            break

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.

In [12]:
for i, html_to_display in enumerate(htmls_to_display):
    if i == 100:
        break
    display(HTML(html_to_display))

Antenna 43: 2459880

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
43 N05 RF_maintenance ee Power 58.451853 3.621372 15.687810 -0.199054 58.451853 0.818164 6.810721 14.960894 2.945437

Antenna 43: 2459879

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
43 N05 RF_maintenance ee Power 10.296595 2.741961 7.970588 0.094324 10.296595 0.144380 1.480532 4.019967 3.737013

Antenna 43: 2459878

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
43 N05 RF_maintenance ee Power 55.454752 16.122760 5.582609 55.454752 0.031450 12.992985 0.734032 7.799563 8.819591

Antenna 43: 2459876

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
43 N05 RF_maintenance ee Power 50.878174 16.092287 1.105136 50.878174 -0.607998 29.857303 0.290006 6.429151 7.352520

Antenna 43: 2459875

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
43 N05 RF_maintenance ee Power 66.633341 16.796739 1.085620 66.633341 -0.554076 13.315559 -0.678915 3.819904 0.500252

Antenna 43: 2459874

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
43 N05 digital_maintenance ee Power 34.737721 23.884964 2.768957 34.737721 -0.732586 18.199789 -0.284389 4.809502 1.695795

Antenna 43: 2459873

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
43 N05 digital_maintenance ee Power 44.913428 17.918572 2.618845 44.913428 -0.575441 7.328409 0.038093 2.056006 2.866954

Antenna 43: 2459872

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
43 N05 digital_maintenance ee Power 57.548069 2.506482 15.569373 -0.457654 57.548069 1.173368 20.208991 2.672329 3.115776

Antenna 43: 2459871

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
43 N05 digital_maintenance ee Power 62.098585 0.782688 12.497693 -0.509328 62.098585 -0.400681 18.144250 0.846852 1.771571

Antenna 43: 2459870

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
43 N05 digital_maintenance ee Power 46.770637 21.197994 4.813316 46.770637 -0.322255 10.779570 0.624080 5.519359 3.879311

Antenna 43: 2459869

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
43 N05 digital_maintenance ee Power 46.749769 17.890085 1.048137 46.749769 -0.201501 15.824792 -0.039126 6.166719 1.562777

Antenna 43: 2459868

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
43 N05 digital_maintenance ee Power 70.729441 19.340845 1.967850 70.729441 -0.830048 10.864956 -0.733798 4.708628 3.669914

Antenna 43: 2459867

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
43 N05 digital_maintenance ee Power 55.540704 13.386597 1.670569 55.540704 -0.769096 5.797070 -0.252852 3.258565 0.683794

Antenna 43: 2459866

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
43 N05 digital_maintenance ee Power 52.358493 1.869022 15.518874 -0.623906 52.358493 -0.077383 6.577656 3.140317 3.379277

Antenna 43: 2459865

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
43 N05 digital_maintenance ee Power 63.524402 16.916118 5.120316 63.524402 4.288722 15.787720 0.223445 15.356300 1.223817

Antenna 43: 2459864

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
43 N05 digital_maintenance ee Power 25.388393 5.839783 20.816074 -1.148175 25.388393 0.481755 8.249791 5.576570 5.087568

Antenna 43: 2459863

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
43 N05 digital_maintenance ee Shape 12.381979 12.381979 0.650836 8.032529 -0.072462 2.976857 -0.602650 2.295861 1.616751

Antenna 43: 2459862

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
43 N05 digital_maintenance ee Power 29.008194 12.156899 1.473495 29.008194 -1.470391 12.526969 -0.429048 1.696439 0.676417

Antenna 43: 2459861

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
43 N05 digital_maintenance ee Shape 9.359568 1.595040 9.359568 0.127491 8.113863 0.247699 2.555280 1.329353 1.831366

Antenna 43: 2459860

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
43 N05 digital_maintenance ee Power 24.378084 10.349112 0.875144 24.378084 -1.070353 14.695023 -0.173043 2.122973 0.583748

Antenna 43: 2459859

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
43 N05 digital_maintenance ee Power 8.785289 8.577560 1.664766 8.785289 0.054858 2.230368 -0.088973 0.877579 1.338013

Antenna 43: 2459858

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
43 N05 digital_maintenance ee Shape 9.329167 2.289849 9.329167 0.005777 9.087143 0.167157 2.268161 0.973416 1.727083

Antenna 43: 2459857

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
43 N05 digital_maintenance ee Shape 7.297562 -0.380326 7.297562 -0.557783 1.339638 0.142087 1.771730 -0.459261 5.926894

Antenna 43: 2459856

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
43 N05 digital_maintenance ee Power 22.941011 14.044759 4.289200 22.941011 -0.591668 6.656079 0.132799 3.417527 1.642090

Antenna 43: 2459855

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
43 N05 digital_maintenance ee Power 23.944214 5.286206 14.562656 -0.863357 23.944214 0.130601 2.764662 1.120531 1.384612

Antenna 43: 2459854

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
43 N05 digital_maintenance ee Power 18.345058 6.997844 14.540315 0.324670 18.345058 0.599450 3.841574 4.516424 3.227382

Antenna 43: 2459853

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
43 N05 digital_maintenance nn Shape nan nan nan inf inf nan nan nan nan

Antenna 43: 2459852

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
43 N05 digital_maintenance ee Power 25.617335 12.846803 2.226267 25.617335 -0.110991 15.619158 0.168742 16.748950 -0.510269

Antenna 43: 2459851

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
43 N05 digital_maintenance ee Power 26.386509 9.510555 2.714082 26.386509 0.572777 21.505144 -0.166024 13.355778 1.708281

Antenna 43: 2459850

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
43 N05 digital_maintenance ee Power 22.819260 11.629747 2.029115 22.819260 0.420388 10.305514 0.088132 6.787655 0.970968

Antenna 43: 2459849

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
43 N05 digital_maintenance ee Power 46.104418 13.541427 2.295437 46.104418 2.728420 7.112880 0.378082 4.270823 2.056854

Antenna 43: 2459848

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
43 N05 digital_maintenance ee Power 29.268021 1.420030 12.310868 16.351728 29.268021 1.626501 14.296933 0.090905 1.627937

Antenna 43: 2459847

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
43 N05 digital_maintenance ee Power 27.296114 0.539913 14.218671 15.247434 27.296114 0.519055 21.934135 2.927262 0.353193

Antenna 43: 2459846

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
43 N05 digital_maintenance ee Power 33.275061 24.127344 5.163601 33.275061 13.136849 21.574932 5.816819 4.056913 -0.124090
In [ ]: